Search Results for: contingency table

The following is a summary of the Regression and ANOVA worksheet functions provided in the Real Statistics Resource Pack. These functions are organized into the following categories: Linear Regression Heteroskedasticity Autocorrelation Regression Power and Sample Size Stepwise Regression Exponential Regression Polynomial Regression Least Absolution Deviation (LAD) Regression Deming Regression Total Least Squares Regression Passing-Bablok Regression … Read More

Example Example 1: A study was conducted to see whether there was a difference in the rate of lung cancer between people who smoked one pack of cigarettes a day and those who regularly smoked an electronic cigarette. In the study, the confounding effect of the pollution level in the city where the smoker resided … Read More

The Cochran-Mantel-Haenszel (CMH) test is used to test multiple 2 ⨯ 2 contingency tables across different values of a confounding variable. The test determines whether there is a significant difference between the odds ratios across the different values of the confounding variable. We represent each of the k 2 ⨯ 2 contingency as shown in … Read More

The Cochran-Mantel-Haenszel (CMH) test is used to test multiple 2 × 2 contingency tables across different values of a confounding variable. The test determines whether there is a significant difference between the odds ratios across the different values of the confounding variable. Topics Basic Concepts Example Real Statistics Support References PennState (2017) Cochran-Mantel-Haenszel test https://online.stat.psu.edu/stat504/lesson/5/5.3/5.3.5 SAS … Read More

Worksheet Functions Real Statistics Functions: The Real Statistics Resource Pack contains the following array functions where R1 is an array containing an m × n contingency table, R2 is an mm × n array containing supplementary row profiles and R3 is an m × nn array containing supplementary column profiles. None of these arrays include row … Read More

Overview Correspondence analysis plays a role similar to factor analysis or principal component analysis for categorical data expressed as a contingency table (e.g. as described in the chi-square test of independence). For a 10 × 10, a complete description of the associations between row elements and column elements requires nine dimensions. Unfortunately, it is difficult … Read More

Correspondence analysis plays a role similar to factor analysis or principal component analysis for categorical data expressed as a contingency table (e.g. as described in the chi-square test of independence). Essentially, correspondence analysis decomposes the chi-square statistic of independence into orthogonal factors. This approach is valid even when the cell sizes in the contingency table … Read More

Worksheet Functions Real Statistics Functions: The Real Statistics Pack provides the following worksheet functions: TCORREL(R1, lab, opt, alpha): outputs a column array containing the tetrachoric correlation coefficient for the 2 × 2 contingency table in range R1 (without headings), standard error, z statistic, p-value, and the lower and upper limits of the 1 – alpha … Read More